Theory of Spatial Statistics: A Concise Introduction

Theory of Spatial Statistics: A Concise Introduction presents the most important models used in spatial statistics, including random fields and point processes, from a rigorous mathematical point of view and shows how to carry out statistical inference. It contains full proofs, real-life examples and theoretical exercises. Solutions to the latter are available in an appendix.

Assuming maturity in probability and statistics, these concise lecture notes are self-contained and cover enough material for a semester course. They may also serve as a reference book for researchers.

Features* Presents the mathematical foundations of spatial statistics.
* Contains worked examples from mining, disease mapping, forestry, soil and environmental science, and criminology.
* Gives pointers to the literature to facilitate further study.
* Provides example code in R to encourage the student to experiment.
* Offers exercises and their solutions to test and deepen understanding.

The book is suitable for postgraduate and advanced undergraduate students in mathematics and statistics.

Author: M. N. M. Van Lieshout
Publisher: CRC Press
Published: 03/11/2019
Pages: 182
Binding Type: Paperback
Weight: 0.59lbs
Size: 9.21h x 6.14w x 0.39d
ISBN: 9780367146399

About the Author

Marie-Colette van Lieshout is a Researcher in the group Stochastics of the Centre for Mathematics and Computer Science CWI and at the University Twente.